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CHAP.  I]                           PROBABILITY



                  Let Ai be the event that component si functions. Then
                                            P(Ai) = 1 - P(Ai) = 1 - pi
              Let A be the event that the system functions. Then, since A,'s  are independent, we obtain





         1.59.  A system consisting of n separate components is said to be a parallel system if  it functions when
              at least one of  the components functions (Fig. 1-17). Assume that the components fail indepen-
              dently and that the probability of failure of component i is pi, i = 1, 2, . . . , n.  Find the probabil-
              ity that the system functions.















                                           Fig. 1-17  Parallel system.

                  Let Ai be the event that component si functions. Then


              Let A be the event that the system functions. Then, since A,'s  are independent, we obtain




         1.60.  Using Eqs. (1.85) and (1.86), redo Prob. 1.34.
                  From  Prob.  1.34, pi = 4, = 1, 2,  3, 4, where pi is the probability  of failure of  switch si. Let  A be the
                                     i
              event  that there  exists a closed  path  between a  and  b.  Using  Eq. (1.86), the probability  of  failure for the
              parallel combination of switches 3 and 4 is
                                             P34 = P3 P4 = (+)(a) == a

              Using Eq. (1.85), the probability of failure for the combination of switches 2, 3, and 4 is
                                        p234  = 1 - (1 - 4x1 - i) =; 1 - 3  =
                                                                8   8
              Again, using Eq. (1.86), we obtain



         1.61.  A  Bernoulli experiment  is a random experiment, the outcome of  which can be classified in but
              one of  two  mutually exclusive and exhaustive  ways, say success or failure. A  sequence of  Ber-
              noulli trials occurs when  a. Bernoulli experiment is performed  several independent times so that
              the probability of success, say p,  remains the same from trial to trial. Now an infinite sequence of
              Bernoulli trials is performed. Find the probability that (a) at least  1 success occurs in the first n
              trials; (b) exactly k successes occur in the first n trials; (c) all trials result in successes.
              (a)  In order to find the probability  of at least  1 success in the first n  trials, it is easier to first compute the
                  probability of the complementary event, that of no successes in the first n trials. Let Ai denote the event
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